Teradyne Robotics, the parent company of Universal Robots and Mobile Industrial Robots, is presenting a range of production-ready physical AI applications at Automate 2026 in Chicago, highlighting robotics systems designed for deployment in manufacturing, logistics and data center environments.
The demonstrations focus on applications that combine robotics with artificial intelligence to perform tasks in dynamic and less structured industrial settings. According to Teradyne Robotics, the showcased solutions are commercially available through its network of system integrators and partners and include the MiR1200 Pallet Jack, which the company describes as its first physical AI-enabled product.
A central element of the company’s technology strategy is PolyScope X, Universal Robots’ next-generation software platform. The platform retains the motion-control capabilities used in the company’s collaborative robots while introducing updated software architecture based on web technologies, containerized applications and native ROS 2 support. PolyScope X also includes Logic Programs, a feature that enables continuously running, multi-threaded background processes for coordinating multiple work-cell components, exchanging data and, in some deployments, reducing reliance on external programmable logic controllers.
Several demonstrations are focused on electronics manufacturing and AI infrastructure. The UR AI Trainer, developed with Scale AI, allows operators to physically guide robots through tasks and capture force-sensitive training data for Vision-Language-Action models. The platform also supports integration with technologies from NVIDIA, including the GR00T robotics model and the Isaac Sim simulation framework.
Another demonstration features two UR12e robots operating with Generalist’s GEN-1 foundation model to perform autonomous manipulation tasks. A separate application developed with Cambrian uses dual-arm UR7e robots and AI vision systems to identify and connect copper cables within high-density server racks, a task associated with the construction and maintenance of AI data centers.
Additional partner demonstrations highlight robotics systems that adapt to changing conditions on production floors. AICA is demonstrating a UR7e robot that learns and reproduces polishing operations from a human demonstration while adjusting applied force during execution. PALTZ’s beRobox palletizing system combines AI vision with a UR20 robot and autonomous mobile robots from MiR to manage pallet movement and material handling without fixed infrastructure.
Teradyne Robotics is also presenting mobile automation applications developed with ROEQ, where autonomous mobile robots and mobile cobots transfer boxes between conveyors and transport systems. Other demonstrations include Maple Advanced Robotics’ automated spot-sanding solution, which uses a UR8L robot to identify and process defects without CAD models or manual programming; Trener Robotics’ conversational machine-tending platform, which enables operators to configure robotic tasks through natural-language input; and Vention’s AI-driven bin-picking system, which combines a UR12e robot with 3D vision technology to identify and handle unstructured parts.
The company said the demonstrations are intended to show how AI-enabled robotic systems can perform industrial tasks in environments that require adaptation to changing conditions, variable object placement and other real-world operational challenges.
